Artificial Intelligence is revolutionizing industries and workflows, and learning to work with AI in the cloud is an important skill for modern developers. Whether you’re a beginner or looking to deepen your understanding of generative AI, this course is your all-in-one guide to mastering the development lifecycle of AI systems.
We just published a Generative AI in the Cloud course on the freeCodeCamp.org YouTube channel, taught by Andrew Brown. This 23-hour comprehensive course covers every aspect of generative AI, including prompt engineering, model deployment, optimization techniques, and advanced topics like Retrieval-Augmented Generation (RAG) and AI agents. If you’re interested in exploring how AI can be harnessed in real-world applications, this is the course for you.
What You’ll Learn:
AI and ML Fundamentals
Begin with the essentials of artificial intelligence and machine learning, exploring the foundational concepts that power generative AI models.
Generative AI Primer
Learn what makes generative AI unique, including its ability to produce text, code, images, and more. Understand the role of large language models (LLMs) in this rapidly growing field.
Data and Machine Learning
Discover how data drives machine learning, including data preprocessing and integration with AI systems.
LLM Basics
Dive into large language models, their architecture, and how they process and generate natural language.
AI-Powered Assistants
Explore how AI can be used to build intelligent assistants that respond contextually and provide valuable support.
Prompt Engineering
Master the art of writing effective prompts to guide AI models for desired outputs. This is a crucial skill for working with generative AI systems.
Development Tools and Environments
Set up your development environment and learn to use tools like workbenches, playgrounds, and AI DevTools to experiment and refine your applications.
Model as a Service and Deployment
Understand how to use pre-trained models as a service and deploy them efficiently using cloud-based tools and platforms.
Advanced Topics
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AI Delivery Platforms: Learn about AI-specific hardware and platforms for delivering high-performance solutions.
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RAGs (Retrieval-Augmented Generation): Integrate external data sources to enhance the output of AI models.
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AI Agents: Build autonomous agents that can perform tasks with minimal supervision.
Key Skills You’ll Gain:
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AI and ML fundamentals
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Generative AI development lifecycle
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Prompt engineering for effective AI interaction
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Using AI-powered assistants and LLMs
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Cloud-based deployment and optimization
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Building scalable and efficient AI systems
With its hands-on approach and in-depth coverage, this course will equip you to confidently develop AI applications, from concept to deployment. Whether you’re aiming to build your first AI model or tackle advanced AI topics, this course is for you.
Watch the full course on the freeCodeCamp.org YouTube channel (23-hour watch).
Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & MoreÂ
